The graph represents a network of 843 Twitter users whose tweets in the requested range contained "fashiontech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 20 January 2022 at 06:49 UTC.
The requested start date was Thursday, 20 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 0-hour, 27-minute period from Sunday, 09 January 2022 at 18:42 UTC to Wednesday, 19 January 2022 at 19:10 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 843
Unique Edges : 1266
Edges With Duplicates : 15973
Total Edges : 17239
Number of Edge Types : 5
Mentions : 3406
Retweet : 6275
MentionsInRetweet : 7130
Tweet : 391
Replies to : 37
Self-Loops : 1302
Reciprocated Vertex Pair Ratio : 0.0644144144144144
Reciprocated Edge Ratio : 0.121032585696149
Connected Components : 93
Single-Vertex Connected Components : 55
Maximum Vertices in a Connected Component : 682
Maximum Edges in a Connected Component : 16960
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.948022
Graph Density : 0.0033290786496592
Modularity : 0.09586
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 843 Twitter users whose tweets in the requested range contained "fashiontech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 20 January 2022 at 06:49 UTC.
The requested start date was Thursday, 20 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 0-hour, 27-minute period from Sunday, 09 January 2022 at 18:42 UTC to Wednesday, 19 January 2022 at 19:10 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : fashiontech
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4559] #women,#ehealth [4553] #cx,#women [4553] #digital,#cx [4522] #datascientist,#digital [4455] #finserv,#fashiontech [4210] #fashiontech,#insurtech [3511] #ces2023,#finserv [3299] #ehealth,#data [3275] #data,#ces2023 [3254] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[3584] #digital,#cx [3572] #women,#ehealth [3569] #cx,#women [3558] #datascientist,#digital [3488] #finserv,#fashiontech [3291] #fashiontech,#insurtech [2712] #ces2023,#finserv [2546] #ehealth,#data [2526] #data,#ces2023 [2417] chidambara09,#datascientist Top Word Pairs in Tweet in G2:
[635] #women,#ehealth [632] #cx,#women [618] #finserv,#fashiontech [616] #digital,#cx [614] #datascientist,#digital [590] #fashiontech,#insurtech [527] chidambara09,#datascientist [504] #ces2023,#finserv [477] #ehealth,#data [473] #data,#ces2023 Top Word Pairs in Tweet in G3:
[349] #digital,#cx [348] #cx,#women [348] #women,#ehealth [346] #datascientist,#digital [345] #finserv,#fashiontech [325] #fashiontech,#insurtech [306] chidambara09,#datascientist [291] #ces2023,#finserv [272] #ehealth,#data [272] #data,#ces2023 Top Word Pairs in Tweet in G4:
[59] apple,watch [34] fashion,tech [31] watch,充電器 [25] 前回,圏外 [22] アップルウォッチ,充電器 [20] ハンドソープ,ディスペンサー [18] ワイヤレス充電器,apple [17] 充電器,ワイヤレス充電器 [17] ワイヤレス充電器,スタンド [17] watch,充電 Top Word Pairs in Tweet in G5:
[20] ifa,paris [16] #sibocolor,#sibostyle [16] #sibostyle,#stylingtool [16] enricomolinari,greek [16] greek,latin [16] latin,evolution [16] evolution,alphabet [16] alphabet,visualcap [16] visualcap,enricomolinari [16] enricomolinari,#edtech Top Word Pairs in Tweet in G6:
[12] nodexl,chidambara09 [10] fisheyebox,pinakilaskar [9] enilev,fisheyebox [9] set,sensoric [9] sensoric,smokedress [9] 2012,re [9] re,recorded [9] recorded,robot [9] robot,studios [9] studios,miami Top Word Pairs in Tweet in G7:
[27] meta,#fashion [27] #fashion,#metaverse [27] #metaverse,#nft [27] #nft,#nfts [27] #nfts,#cryptoart [27] #cryptoart,#fashiontech [27] #fashiontech,#avataverse [27] #avataverse,#vr [27] #vr,#virtual [27] #virtual,mt Top Word Pairs in Tweet in G8:
[6] fashion,technology [5] attendance,#fashiontech [5] #fashiontech,#coygriffin [4] 14th,january [4] technology,101 [4] 21titles,attendance [3] forget,sign [3] sign,tech [3] tech,skills [3] skills,workshop Top Word Pairs in Tweet in G9:
[11] open,source [11] source,library [6] first,music [6] music,submissions [6] submissions,open [6] library,submit [6] submit,yours [6] yours,realm [6] realm,runway [6] runway,nyc Top Word Pairs in Tweet in G10:
[2] 3d,printing [2] printing,fabric [2] fabric,wireless [2] wireless,leds [2] leds,excited [2] excited,teaching [2] teaching,another [2] another,online [2] online,class [2] class,makerfaire Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: